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513 results for “Field Data”
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Case ReportOpen accessIn the abstractGully Morphological Assessment and Anthropogenic Determinants in Urban and Rural Settlements of Upper Imo River Basin (UIRB) South Eastern NigeriaNnamdi Christian ChiboGully erosion have been proven to vary both in terms of size and number in urban and rural settlements and is caused by factors related to both human and natural phenomenon. This study assessed the gully morphological development in an urban and rural settlement with the view of finding the settlement that is more vulnerable to gully erosion development. It … …American Journal of Environmental Sciences, Vol. 18, Issue 6 · 19 Dec 2022 · 5,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassify Breast Cancer Patients using Hybrid Data-Mining TechniquesFaris E. Mohammed, Nadia Smaoui Zghal, Dalinda Ben Aissa, Mostafa Mahmoud El-GayarAccording to the World Health Organization (WHO), breast cancer is a disease that leads to death, especially for women who have neglected or ignored the risk factors. Doctors can classify patients according to clinical information, famous disease symptoms, or similar cases. But, some cases are difficult to detect early or diagnose accurately. Therefore, the most important challenge faced by researchers … …Journal of Computer Science, Vol. 18, Issue 4 · 12 May 2022 · 6,526 accessesView PDFCite
Research ArticleOpen accessIn the abstractPhysical Reasons and Mitigation Strategies for Increased Lightnings in BangladeshMiah Muhammad AdelBangladesh lightning victims’ data spanning from 2007 to 2020 were analyzed to relate victims’ activities to lightning strikes under the current upstream water piracy-set heating whence to suggest some mitigation measures. The victims’ data from the online Bangladesh news media bd news 24.com were categorized in columns of places, times of occurrences, engagements of the victims, the numbers of the … …American Journal of Environmental Sciences, Vol. 18, Issue 1 · 28 Jan 2022 · 6,779 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffective Strains of Beauveria Bassiana and B. Pseudobassiana used Against the Asian Locust (Locusta Migratoria L.) in KazakhstanUlzhalgas T. Zhumataуeva, Bakhytzhan A. Duissembekov, Yerlan Dutbayev et al.The purpose of the study was to perform genetic identification of the strains of fungi of the Beauveria genus and evaluate the effect of abiotic factors on the growth and survival of colonies and the productivity of conidia of these fungi, as well as to determine the biological effectiveness of the semi-preparative form of the drug based on Beauveria bassiana … …OnLine Journal of Biological Sciences, Vol. 22, Issue 4 · 22 Nov 2022 · 5,702 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Decreasing Temperature on Soil Microbial Activity in a Boreal Shield EcozoneAlistar Moy, Kabwe NkongoloAlthough the focus on warming is imperative to address climate change, addressing the effects of cooling is arguably just as relevant in characterizing the enzyme response to temperature fluctuations. In this study, the response of enzyme activity to diminishing temperatures in the field was evaluated. The targeted sites were located in the City of Greater Sudbury in Northern Ontario, Canada. … …American Journal of Environmental Sciences, Vol. 18, Issue 2 · 17 Apr 2022 · 6,660 accessesView PDFCite
Review ArticleOpen accessIn the abstractBig Data and its Future in Computational Biology: A Literature ReviewIman Ahmed ElSayed, Kamal ElDahshan, Hesham Hefny, Eman Karam ElSayedBig data technologies are used majorly for computational biology research nowadays due to the emerge of massive amounts of biological data that have been generated and collected at an unprecedented speed and scale and with different structures. As an example, the processing of billions of DNA sequence data per day represents the new generation of sequencing technologies. It is expected … …Journal of Computer Science, Vol. 17, Issue 12 · 31 Dec 2021 · 6,598 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Econometric Analysis of Home Field Advantage in the World’s Largest Sports: Pre and Post COVID-19 OutbreakNazmul Islam, Peter LeRoux, Nicholas CorreiaThe purpose of this study is to measure the home field advantage across sports and within sports. The study also sets forth an analysis of the soccer games played in empty stadiums during the COVID-19 pandemic. We measure whether there is any difference between playing in front of fans and without fans: Something that has not been captured before. We … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 15 Sep 2021 · 8,100 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Food Security through Flood Recession Farming: A Case Study of the Upper East Region, GhanaJohn Aloba Atubiga, Alobit Baba AtubigaSustainable Development Goals one and two aim at reducing poverty and eradicating hunger by the year 2030. However, the realization of these goals, especially among subsistent farmers in Africa, is marred by the occurrence of climatic events such as floods and drought which have retarded crop production in the sub-region. This means that there is a need to explore other … …Journal of Social Sciences, Vol. 18, Issue 1 · 5 Dec 2022 · 5,649 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in WardhaAishwarya Kadu, KTV ReddyAgricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge technology to enhance crop productivity by proposing a Mobile/Web-based precision farming system. Leveraging Machine Learning (ML) algorithms, the proposed system recommends optimal crops based on several factors such as environmental parameters (Nitrogen … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning and Image Analytics for Forest Land Management: Classification, and Object DetectionDevam Dixit, Aditya Bhavsar, Shreyas Jani, Nilesh YadavRapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not applicable in the monitoring of large forest areas due to the fact that such methods are manual, costly and time consuming as well as subject to human error. The current methods of remote … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,590 accessesView PDFCite